Other names published for GCN4: AAS3, ARG9, AAS101, YEL009C
GCN4 LITERATURE TOPICS
- Curated Literature
- Genetics/Cell Biology
- Nucleic Acid Information
- Gene Product Information
- Related Genes/Proteins
- Research Aids
- Genome-wide Analysis
- Proteome-wide Analysis
- Other Topics
- Additional Information
GCN4 - Computational analysis (54)
| Reference | Other Genes Addressed |
|---|---|
| Gitter A, et al. (2013) Linking the signaling cascades and dynamic regulatory networks controlling stress responses. Genome Res 23(2):365-76 | |
| Cao J, et al. (2012) Modeling gene regulation networks using ordinary differential equations. Methods Mol Biol 802():185-97 | |
| Chang DT, et al. (2012) A study on promoter characteristics of head-to-head genes in Saccharomyces cerevisiae. BMC Genomics 13 Suppl 1():S11 | |
| Geijer C, et al. (2012) Time course gene expression profiling of yeast spore germination reveals a network of transcription factors orchestrating the global response. BMC Genomics 13(1):554 | |
| Hansen L, et al. (2012) Differences in local genomic context of bound and unbound motifs. Gene 506(1):125-34 | |
| Brohee S, et al. (2011) Unraveling networks of co-regulated genes on the sole basis of genome sequences. Nucleic Acids Res 39(15):6340-58 | |
| Erb I and van Nimwegen E (2011) Transcription factor binding site positioning in yeast: proximal promoter motifs characterize tata-less promoters. PLoS One 6(9):e24279 | |
| Gordan R, et al. (2011) Curated collection of yeast transcription factor DNA binding specificity data reveals novel structural and gene regulatory insights. Genome Biol 12(12):R125 | |
| Knutson BA and Hahn S (2011) Domains of Tra1 Important for Activator Recruitment and Transcription Coactivator Functions of SAGA and NuA4 Complexes. Mol Cell Biol 31(4):818-831 | |
| Mahrenholz CC, et al. (2011) Complex networks govern coiled-coil oligomerization - predicting and profiling by means of a machine learning approach. Mol Cell Proteomics 10(5):M110.004994 | |
| Rao AR and Pellegrini M (2011) Regulation of the yeast metabolic cycle by transcription factors with periodic activities. BMC Syst Biol 5(1):160 | |
| You T, et al. (2011) Analysing GCN4 Translational Control in Yeast by Stochastic Chemical Kinetics Modelling and Simulation. BMC Syst Biol 5(1):131 | |
| Babbitt GA (2010) Relaxed selection against accidental binding of transcription factors with conserved chromatin contexts. Gene 466(1-2):43-8 | |
| Dunin-Horkawicz S and Lupas AN (2010) Measuring the conformational space of square four-helical bundles with the program samCC. J Struct Biol 170(2):226-35 | |
| Goh WS, et al. (2010) Blurring of high-resolution data shows that the effect of intrinsic nucleosome occupancy on transcription factor binding is mostly regional, not local. PLoS Comput Biol 6(1):e1000649 | |
| Liu Y, et al. (2010) Stabilization of native and non-native structures by salt bridges in a lattice model of the GCN4 leucine dimer. J Phys Chem B 114(2):796-803 | |
| You T, et al. (2010) A quantitative model for mRNA translation in Saccharomyces cerevisiae. Yeast 27(10):785-800 | |
| Zeng T and Li J (2010) Maximization of negative correlations in time-course gene expression data for enhancing understanding of molecular pathways. Nucleic Acids Res 38(1):e1 | |
| Gordan R, et al. (2009) Distinguishing direct versus indirect transcription factor-DNA interactions. Genome Res 19(11):2090-100 | |
| Moxley JF, et al. (2009) Linking high-resolution metabolic flux phenotypes and transcriptional regulation in yeast modulated by the global regulator Gcn4p. Proc Natl Acad Sci U S A 106(16):6477-82 | |
| Nguyen Ba AN, et al. (2009) NLStradamus: a simple Hidden Markov Model for nuclear localization signal prediction. BMC Bioinformatics 10:202 | |
| Raveh-Sadka T, et al. (2009) Incorporating nucleosomes into thermodynamic models of transcription regulation. Genome Res 19(8):1480-96 | |
| Selpi S, et al. (2009) Predicting functional upstream open reading frames in Saccharomyces cerevisiae. BMC Bioinformatics 10():451 | |
| Wang Y, et al. (2009) Predicting eukaryotic transcriptional cooperativity by Bayesian network integration of genome-wide data. Nucleic Acids Res 37(18):5943-58 | |
| Wu WS and Chen BS (2009) Identifying Stress Transcription Factors Using Gene Expression and TF-Gene Association Data. Bioinform Biol Insights 1():137-45 | |
| Ye C, et al. (2009) Using network component analysis to dissect regulatory networks mediated by transcription factors in yeast. PLoS Comput Biol 5(3):e1000311 | |
| Lu CC, et al. (2008) Extracting transcription factor binding sites from unaligned gene sequences with statistical models. BMC Bioinformatics 9 Suppl 12:S7 | |
| Managbanag JR, et al. (2008) Shortest-Path Network Analysis Is a Useful Approach toward Indentifying Genetic Determinants of Longevity. PLoS ONE 3(11):e3802 | |
| Ulitsky I, et al. (2008) MetaReg: a platform for modeling, analysis and visualization of biological systems using large-scale experimental data. Genome Biol 9(1):R1 | |
| Chen G, et al. (2007) Clustering of genes into regulons using integrated modeling-COGRIM. Genome Biol 8(1):R4 |



